Abstract
This document outlines potential research on integrating heterogeneous geographical data for forecasting purposes within the context of Digital Earth. The approach presented in this document relies on Linked Data principles which provide advantages for data integration but also data access. A structure for embedding geographic data into Linked Data is proposed. This structure is then utilized for forecasting spatial phenomena by establishing spatial association rules. The expected outcome of this proposed work is a framework capable of extracting association rules from the Linked Open Data web and an investigation of these rules as well as their potential.
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Mc Cutchan, M. (2018). Linked Data for a Digital Earth: Spatial Forecasting with Next Generation Geographical Data. In: Fogliaroni, P., Ballatore, A., Clementini, E. (eds) Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017). COSIT 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-63946-8_19
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